Artificial Intelligence (AI) based technologies have deeply changed people's daily lives. There are many AI-based applications used in industrial scenarios such as Internet of Things (IoT), smart grids, and edge computing. Although bringing AI into industrial scenarios could improve the performance in many aspects, new security and privacy issues are also introduced consequently. Subsequently, machine learning technologies require a training process which introduces the protection problems in the training data and algorithms. As many machine learning and deep learning models are vulnerable against well-designed adversarial input samples, outsourcing data and algorithms for training will require the integrity of the training data. Also, data privacy of the end users must be protected. On the other hand, traditional solutions for industrial system security could also be enhanced by these AI schemes. The papers in this special section focus on emerging privacy and security issues brought by Artificial Intelligence in industrial informatics.

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The thermal comfort level distribution in high-rise residential buildings is seldomly checked in the Netherlands. At building scale, height and orientation were found to be the crucial parameters in the thermal comfort distribution in a regular high-rise residential building. At room scale, privacy and safety were found to be closely related to the use of the natural ventilation system. Based on the findings, different strategies are proposed to improve thermal comfort, concentrating on the summer period.@en